Computer and Information Systems

This division brings together members from academia, industry and government who share a common interest in topics related to research and practice of data analytics and information systems. The DAIS division is primarily interested in the theory, methodology and practice in all technical areas that develop or apply to data analytics and information systems.

Research gallery

One of the benefits of belonging to a professional society is the opportunity to share knowledge about various topics of interest.

Topic:  Ecommerce Order Fulfillment Optimization at IBM Reserach 

Overview: Dr. Xuan Lin and her team at IBM Research strive to solve challenging ecommerce analytics and optimization problems. The team have been working closely with external business customers, and have deployed multiple production solutions for ecommerce retailers.

Topic: Research Overview of Complex System Design and Analysis Laboratory
Sang Won Yoon, Assistant Professor, Systems Science and Industrial Engineering, State University of New York at Binghamton

Overview: Dr. Sang Won Yoon and his research team has been studying a variety of emerging research domains including 1) distributed decision making, coordination protocol design and collaborative control theory, 2) large-scale data analytics and predictive modeling, 3) mail-order pharmacy system design and analysis, 4) healthcare systems optimization, 5) production & manufacturing systems optimization, and 6) warehouse management and transportation. This research overview will outline a brief description of six research domains, followed by future research plans.

Topic: Visual sensing and Data Analytics
Mehdi Khazaeli, Assistant Professor, Engineering Management, University of the Pacific

Overview: Dr. Khazaeli and his research team at UOP are working on multimedia analysis and using contextual cueing to improve segmentation, scene detection and object recognition. This research will ultimately contribute to sport biomechanics, training environment and building information modelling.

About the Division

This division brings together members concerned with the cost-effective utilization of computer technology throughout organizations. Members are involved in the interface between management and computer system design, including procurement, procedures and software selection.

IISE DAIS Board

President Dr. Hui Yang, The Pennsylvania State University
President-elect Dr. Brian Quanz, IBM research
Intermediate past president Dr. David Porter, Oregon State University 
Board Directors

Dr. Bimal Nepal, Texas A&M University

Dr. John Usher, Mississippi State University

Dr. Changqing Cheng, Binghamton University

Dr. Xin Chen, Southern Illinois University

Dr. Saeed Ghanbartehrani, Ohio University 

Dr. Dongping Du, Texas Tech University  


Vision

Become the leading division in IISE by increasing networking and partnership between its members and promoting forums to engage, share and recognize innovative ideas in the field of data analytics and information systems.

Mission 

The Data Analytics and Information Systems (DAIS) Division of the Institute of Industrial and Systems Engineers (IISE) brings together members from academia, industry and government who share a common interest in topics related to the research and practice of data analytics and information systems. The DAIS division is primarily interested in the theory, methodology, and practice in all technical areas that develop or apply DAIS, including (but not limited to):

  • Network Science and Complex Systems
  • Data Analytics and Statistical Learning
  • System Informatics and Optimal Control
  • Smart and Interconnected Automation Systems
  • Machine Learning and Artificial Intelligence
  • Decision Support System
  • Grid/Cloud Computing
  • Healthcare Delivery
  • Homeland Security and Disaster Management
  • Human System Integration
  • Human Computer/Human Machine Interaction (HCI/HMI)
  • Industry 4.0
  • Information and System Security
  • Information Visualization
  • Intelligent Transportation System
  • Internet of Things (IoT)
  • Multi-agent System
  • RFID and Sensor Network
  • Robotics and Automation
  • Smart Grid
  • Smart Manufacturing
  • Ubiquitous/Pervasive System
  • Usability
  • User Experience Design

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